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see also #5289
import numpy as np import pandas as pd data = {'A': [np.nan, np.nan, np.nan, 0, 1, 2, 3, 4, 5, 6], 'B': [0, 1, 2, np.nan, np.nan, np.nan, 3, 4, 5, 6], 'C': np.arange(10, dtype=np.float64), 'D': [0, 1, 2, 3, 4, 5, np.nan, np.nan, np.nan, np.nan]} dates = pd.bdate_range('1/1/2011', periods=10) float_frame = pd.SparseDataFrame(data, index=dates, default_kind='block') N = len(float_frame) float_frame['foo'] = np.random.randn(N - 1)
--------------------------------------------------------------------------- AssertionError Traceback (most recent call last) <ipython-input-8-0a4f051f0d7a> in <module> 8 float_frame = pd.SparseDataFrame(data, index=dates, default_kind='block') 9 N = len(float_frame) ---> 10 float_frame['foo'] = np.random.randn(N - 1) ~\Anaconda3\lib\site-packages\pandas\core\frame.py in __setitem__(self, key, value) 3117 else: 3118 # set column -> 3119 self._set_item(key, value) 3120 3121 def _setitem_slice(self, key, value): ~\Anaconda3\lib\site-packages\pandas\core\frame.py in _set_item(self, key, value) 3192 3193 self._ensure_valid_index(value) -> 3194 value = self._sanitize_column(key, value) 3195 NDFrame._set_item(self, key, value) 3196 ~\Anaconda3\lib\site-packages\pandas\core\sparse\frame.py in _sanitize_column(self, key, value, **kwargs) 418 else: 419 if len(value) != len(self.index): --> 420 raise AssertionError('Length of values does not match ' 421 'length of index') 422 clean = sp_maker(value) AssertionError: Length of values does not match length of index
ValueError: Length of values does not match length of index
pd.show_versions()
commit: None python: 3.7.1.final.0 python-bits: 64 OS: Windows OS-release: 10 machine: AMD64 processor: Intel64 Family 6 Model 158 Stepping 9, GenuineIntel byteorder: little LC_ALL: None LANG: None LOCALE: None.None
pandas: 0.23.4 pytest: 4.0.2 pip: 18.1 setuptools: 40.6.3 Cython: 0.29.2 numpy: 1.15.4 scipy: 1.1.0 pyarrow: None xarray: None IPython: 7.2.0 sphinx: 1.8.2 patsy: 0.5.1 dateutil: 2.7.5 pytz: 2018.7 blosc: None bottleneck: 1.2.1 tables: 3.4.4 numexpr: 2.6.8 feather: None matplotlib: 3.0.2 openpyxl: 2.5.12 xlrd: 1.2.0 xlwt: 1.3.0 xlsxwriter: 1.1.2 lxml: 4.2.5 bs4: 4.6.3 html5lib: 1.0.1 sqlalchemy: 1.2.15 pymysql: None psycopg2: None jinja2: 2.10 s3fs: None fastparquet: None pandas_gbq: None pandas_datareader: None
The text was updated successfully, but these errors were encountered:
That makes sense. SparseDataFrame is getting deprecated, but in the mean time, let's keep it user-friendly until it gets removed.
SparseDataFrame
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see also #5289
Code Sample, a copy-pastable example if possible
Problem description
Expected Output
Output of
pd.show_versions()
INSTALLED VERSIONS
commit: None
python: 3.7.1.final.0
python-bits: 64
OS: Windows
OS-release: 10
machine: AMD64
processor: Intel64 Family 6 Model 158 Stepping 9, GenuineIntel
byteorder: little
LC_ALL: None
LANG: None
LOCALE: None.None
pandas: 0.23.4
pytest: 4.0.2
pip: 18.1
setuptools: 40.6.3
Cython: 0.29.2
numpy: 1.15.4
scipy: 1.1.0
pyarrow: None
xarray: None
IPython: 7.2.0
sphinx: 1.8.2
patsy: 0.5.1
dateutil: 2.7.5
pytz: 2018.7
blosc: None
bottleneck: 1.2.1
tables: 3.4.4
numexpr: 2.6.8
feather: None
matplotlib: 3.0.2
openpyxl: 2.5.12
xlrd: 1.2.0
xlwt: 1.3.0
xlsxwriter: 1.1.2
lxml: 4.2.5
bs4: 4.6.3
html5lib: 1.0.1
sqlalchemy: 1.2.15
pymysql: None
psycopg2: None
jinja2: 2.10
s3fs: None
fastparquet: None
pandas_gbq: None
pandas_datareader: None
The text was updated successfully, but these errors were encountered: